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Description
EQUIPO DE CATETERES URETERA-LES DOBLE "J", CONSTA DE:GUIA METALICA DE ALAMBRE AFINADO, EN ESPIRAL, CATETER RADIOPACO DOBLE "J" CAL 5 FRCON LONG 26 CM, CAT ETER URETERAL DE POLIURETANO CAL 5FR CON LONG 70 CM, POSICIO-NADOR DE VINIL,
IMSS product code
060.345.0594.01
Each circle represents one of the 5 purchases of EQUIPOS made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 3 | 28,837.6 MXN | 3,977.6 MXN | 16 % | 2.24 | 4 de abril de 2014 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 10,208 MXN | 1,408 MXN | 16 % | 1.28 | 18 de octubre de 2010 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 3,000.4 MXN | 391.4 MXN | 15 % | 0.15 | 26 de mayo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIAL HOSPITALARIA S.A DE C.V. | 1 | 334.4 MXN | 16 % | 0.16 | 2013 - 2013 |
| ESCAMILLA ZENTENO AURORA | 1 | 1,408 MXN | 16 % | 1.28 | 2010 - 2010 |
| GOPY MEDICAL S.A DE C.V. | 1 | 2,688 MXN | 16 % | 1.6 | 2014 - 2014 |
| INSTRUMENTOS Y ACCESORIOS AUTOMATIZADOS, S.A. DE C | 1 | 955.2 MXN | 16 % | 0.48 | 2011 - 2011 |
| MARIA MAGDALENA ANTONIETA DE LA GARZA MACIAS | 1 | 391.4 MXN | 15 % | 0.15 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.345.0594.01")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.345.0594.01')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.345.0594.01')